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Azure Databricks Engineer - Python/PySpark (4-8 yrs) @ Leuwint Technologies

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 Azure Databricks Engineer - Python/PySpark (4-8 yrs)

Job Description

About The Role :- Minimum 4 years of experience in relevant field.- Hands on experience in Databricks, SQL, Azure Data Factory, Azure DevOps- Strong expertise in Microsoft Azure cloud platform services (Azure Data Factory, Azure Data Bricks, Azure SQL Database, Azure Data Lake Storage, Azure Synapse Analytics).- Proficient in CI-CD pipelines in Azure DevOps for automatic deployments- Good in Performance optimization techniques like using temp tables, CTE, indexing, merge statements, joins.- Familiarity in Advanced SQL and programming skills (e.g., Python, Pyspark).- Familiarity with data warehousing and data modelling concepts.- Good in Data management and deployment processes using Azure Data factory and Databricks, Azure DevOps.- Knowledge on integrating every azure service with DevOps- Experience in designing and implementing scalable data architectures.- Proficient in ETL processes and tools.- Strong communication and collaboration skills.- Certifications in relevant Azure technologies are a plusLocation Bangalore/ HyderabadApply
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Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Platform Engineer
Employement Type: Full time

Contact Details:

Company: Leuwint Technologies
Location(s): Bengaluru

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Keyskills:   continuous integration microsoft azure azure devops ci cd pipeline etl process azure databricks python azure data lake azure synapse data warehousing pyspark azure data factory azure cloud platform sql data bricks sql azure data modeling devops etl

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